Dataset statistics
| Number of variables | 13 |
|---|---|
| Number of observations | 194 |
| Missing cells | 330 |
| Missing cells (%) | 13.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 19.8 KiB |
| Average record size in memory | 104.7 B |
Variable types
| Categorical | 2 |
|---|---|
| Numeric | 11 |
Country has a high cardinality: 194 distinct values | High cardinality |
Under15 is highly correlated with Over60 and 8 other fields | High correlation |
Over60 is highly correlated with Under15 and 8 other fields | High correlation |
FertilityRate is highly correlated with Under15 and 8 other fields | High correlation |
LifeExpectancy is highly correlated with Under15 and 8 other fields | High correlation |
ChildMortality is highly correlated with Under15 and 8 other fields | High correlation |
CellularSubscribers is highly correlated with Under15 and 8 other fields | High correlation |
LiteracyRate is highly correlated with Under15 and 8 other fields | High correlation |
GNI is highly correlated with Under15 and 8 other fields | High correlation |
PrimarySchoolEnrollmentMale is highly correlated with Under15 and 8 other fields | High correlation |
PrimarySchoolEnrollmentFemale is highly correlated with Under15 and 8 other fields | High correlation |
Under15 is highly correlated with Over60 and 8 other fields | High correlation |
Over60 is highly correlated with Under15 and 6 other fields | High correlation |
FertilityRate is highly correlated with Under15 and 8 other fields | High correlation |
LifeExpectancy is highly correlated with Under15 and 8 other fields | High correlation |
ChildMortality is highly correlated with Under15 and 8 other fields | High correlation |
CellularSubscribers is highly correlated with Under15 and 7 other fields | High correlation |
LiteracyRate is highly correlated with Under15 and 7 other fields | High correlation |
GNI is highly correlated with Under15 and 5 other fields | High correlation |
PrimarySchoolEnrollmentMale is highly correlated with Under15 and 6 other fields | High correlation |
PrimarySchoolEnrollmentFemale is highly correlated with Under15 and 7 other fields | High correlation |
Under15 is highly correlated with Over60 and 5 other fields | High correlation |
Over60 is highly correlated with Under15 and 5 other fields | High correlation |
FertilityRate is highly correlated with Under15 and 5 other fields | High correlation |
LifeExpectancy is highly correlated with Under15 and 5 other fields | High correlation |
ChildMortality is highly correlated with Under15 and 6 other fields | High correlation |
CellularSubscribers is highly correlated with GNI | High correlation |
LiteracyRate is highly correlated with Under15 and 4 other fields | High correlation |
GNI is highly correlated with Under15 and 7 other fields | High correlation |
PrimarySchoolEnrollmentMale is highly correlated with PrimarySchoolEnrollmentFemale | High correlation |
PrimarySchoolEnrollmentFemale is highly correlated with LifeExpectancy and 3 other fields | High correlation |
Region is highly correlated with Under15 and 8 other fields | High correlation |
Population is highly correlated with PrimarySchoolEnrollmentFemale | High correlation |
Under15 is highly correlated with Region and 7 other fields | High correlation |
Over60 is highly correlated with Region and 6 other fields | High correlation |
FertilityRate is highly correlated with Region and 8 other fields | High correlation |
LifeExpectancy is highly correlated with Region and 9 other fields | High correlation |
ChildMortality is highly correlated with Region and 8 other fields | High correlation |
CellularSubscribers is highly correlated with Region and 7 other fields | High correlation |
LiteracyRate is highly correlated with Region and 6 other fields | High correlation |
GNI is highly correlated with Region and 3 other fields | High correlation |
PrimarySchoolEnrollmentMale is highly correlated with FertilityRate and 5 other fields | High correlation |
PrimarySchoolEnrollmentFemale is highly correlated with Region and 7 other fields | High correlation |
FertilityRate has 11 (5.7%) missing values | Missing |
CellularSubscribers has 10 (5.2%) missing values | Missing |
LiteracyRate has 91 (46.9%) missing values | Missing |
GNI has 32 (16.5%) missing values | Missing |
PrimarySchoolEnrollmentMale has 93 (47.9%) missing values | Missing |
PrimarySchoolEnrollmentFemale has 93 (47.9%) missing values | Missing |
Country is uniformly distributed | Uniform |
Country has unique values | Unique |
Reproduction
| Analysis started | 2022-04-16 19:21:28.027819 |
|---|---|
| Analysis finished | 2022-04-16 19:22:07.227531 |
| Duration | 39.2 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 194 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| Afghanistan | 1 |
|---|---|
| Saint Vincent and the Grenadines | 1 |
| Niger | 1 |
| Nigeria | 1 |
| Niue | 1 |
| Other values (189) |
Length
| Max length | 41 |
|---|---|
| Median length | 7 |
| Mean length | 9.819587629 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 194 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Afghanistan |
|---|---|
| 2nd row | Albania |
| 3rd row | Algeria |
| 4th row | Andorra |
| 5th row | Angola |
Common Values
| Value | Count | Frequency (%) |
| Afghanistan | 1 | 0.5% |
| Saint Vincent and the Grenadines | 1 | 0.5% |
| Niger | 1 | 0.5% |
| Nigeria | 1 | 0.5% |
| Niue | 1 | 0.5% |
| Norway | 1 | 0.5% |
| Oman | 1 | 0.5% |
| Pakistan | 1 | 0.5% |
| Palau | 1 | 0.5% |
| Panama | 1 | 0.5% |
| Other values (184) | 184 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| republic | 13 | 4.7% |
| of | 11 | 3.9% |
| and | 6 | 2.2% |
| united | 4 | 1.4% |
| the | 3 | 1.1% |
| democratic | 3 | 1.1% |
| saint | 3 | 1.1% |
| islands | 3 | 1.1% |
| guinea | 3 | 1.1% |
| people's | 2 | 0.7% |
| Other values (221) | 228 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 3.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| Europe | |
|---|---|
| Africa | |
| Americas | |
| Western Pacific | |
| Eastern Mediterranean |
Length
| Max length | 21 |
|---|---|
| Median length | 6 |
| Mean length | 9.824742268 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Eastern Mediterranean |
|---|---|
| 2nd row | Europe |
| 3rd row | Africa |
| 4th row | Europe |
| 5th row | Africa |
Common Values
| Value | Count | Frequency (%) |
| Europe | 53 | |
| Africa | 46 | |
| Americas | 35 | |
| Western Pacific | 27 | |
| Eastern Mediterranean | 22 | |
| South-East Asia | 11 | 5.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| europe | 53 | |
| africa | 46 | |
| americas | 35 | |
| western | 27 | |
| pacific | 27 | |
| eastern | 22 | |
| mediterranean | 22 | |
| south-east | 11 | 4.3% |
| asia | 11 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 191 |
|---|---|
| Distinct (%) | 98.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36359.97423 |
| Minimum | 1 |
|---|---|
| Maximum | 1390000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 75.9 |
| Q1 | 1695.75 |
| median | 7790 |
| Q3 | 24535.25 |
| 95-th percentile | 123100 |
| Maximum | 1390000 |
| Range | 1389999 |
| Interquartile range (IQR) | 22839.5 |
Descriptive statistics
| Standard deviation | 137903.1412 |
|---|---|
| Coefficient of variation (CV) | 3.792718344 |
| Kurtosis | 77.74529006 |
| Mean | 36359.97423 |
| Median Absolute Deviation (MAD) | 7260.5 |
| Skewness | 8.516265354 |
| Sum | 7053835 |
| Variance | 1.901727636 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 2 | 1.0% |
| 105 | 2 | 1.0% |
| 21 | 2 | 1.0% |
| 29825 | 1 | 0.5% |
| 6687 | 1 | 0.5% |
| 169000 | 1 | 0.5% |
| 1 | 1 | 0.5% |
| 4994 | 1 | 0.5% |
| 3314 | 1 | 0.5% |
| 179000 | 1 | 0.5% |
| Other values (181) | 181 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 10 | 2 | |
| 21 | 2 | |
| 31 | 1 | |
| 38 | 1 | |
| 53 | 1 | |
| 54 | 1 | |
| 72 | 1 | |
| 78 | 1 | |
| 89 | 1 |
| Value | Count | Frequency (%) |
| 1390000 | 1 | |
| 1240000 | 1 | |
| 318000 | 1 | |
| 247000 | 1 | |
| 199000 | 1 | |
| 179000 | 1 | |
| 169000 | 1 | |
| 155000 | 1 | |
| 143000 | 1 | |
| 127000 | 1 |
| Distinct | 179 |
|---|---|
| Distinct (%) | 92.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.73242268 |
| Minimum | 13.12 |
|---|---|
| Maximum | 49.99 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 13.12 |
|---|---|
| 5-th percentile | 14.5425 |
| Q1 | 18.7175 |
| median | 28.65 |
| Q3 | 37.7525 |
| 95-th percentile | 45.744 |
| Maximum | 49.99 |
| Range | 36.87 |
| Interquartile range (IQR) | 19.035 |
Descriptive statistics
| Standard deviation | 10.53457332 |
|---|---|
| Coefficient of variation (CV) | 0.3666441023 |
| Kurtosis | -1.184848269 |
| Mean | 28.73242268 |
| Median Absolute Deviation (MAD) | 9.68 |
| Skewness | 0.20895134 |
| Sum | 5574.09 |
| Variance | 110.977235 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30.1 | 4 | 2.1% |
| 30.61 | 3 | 1.5% |
| 25.96 | 3 | 1.5% |
| 42.37 | 2 | 1.0% |
| 41.48 | 2 | 1.0% |
| 15.2 | 2 | 1.0% |
| 35.35 | 2 | 1.0% |
| 14.04 | 2 | 1.0% |
| 28.65 | 2 | 1.0% |
| 18.26 | 2 | 1.0% |
| Other values (169) | 170 |
| Value | Count | Frequency (%) |
| 13.12 | 1 | |
| 13.17 | 1 | |
| 13.28 | 1 | |
| 13.53 | 1 | |
| 14.04 | 2 | |
| 14.16 | 1 | |
| 14.18 | 1 | |
| 14.41 | 1 | |
| 14.51 | 1 | |
| 14.56 | 1 |
| Value | Count | Frequency (%) |
| 49.99 | 1 | |
| 48.54 | 1 | |
| 48.52 | 1 | |
| 47.58 | 1 | |
| 47.42 | 1 | |
| 47.35 | 1 | |
| 47.14 | 1 | |
| 46.73 | 1 | |
| 46.33 | 1 | |
| 45.9 | 1 |
| Distinct | 174 |
|---|---|
| Distinct (%) | 89.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.16365979 |
| Minimum | 0.81 |
|---|---|
| Maximum | 31.92 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 0.81 |
|---|---|
| 5-th percentile | 3.8595 |
| Q1 | 5.2 |
| median | 8.53 |
| Q3 | 16.6875 |
| 95-th percentile | 24.2925 |
| Maximum | 31.92 |
| Range | 31.11 |
| Interquartile range (IQR) | 11.4875 |
Descriptive statistics
| Standard deviation | 7.149330525 |
|---|---|
| Coefficient of variation (CV) | 0.6404109993 |
| Kurtosis | -0.5289511144 |
| Mean | 11.16365979 |
| Median Absolute Deviation (MAD) | 3.795 |
| Skewness | 0.8608790582 |
| Sum | 2165.75 |
| Variance | 51.11292695 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8.84 | 4 | 2.1% |
| 12.35 | 3 | 1.5% |
| 9.07 | 3 | 1.5% |
| 19.31 | 2 | 1.0% |
| 26.97 | 2 | 1.0% |
| 3.72 | 2 | 1.0% |
| 23.82 | 2 | 1.0% |
| 18.6 | 2 | 1.0% |
| 5.1 | 2 | 1.0% |
| 3.8 | 2 | 1.0% |
| Other values (164) | 170 |
| Value | Count | Frequency (%) |
| 0.81 | 1 | |
| 1.73 | 1 | |
| 3.38 | 1 | |
| 3.72 | 2 | |
| 3.73 | 1 | |
| 3.8 | 2 | |
| 3.82 | 1 | |
| 3.84 | 1 | |
| 3.87 | 1 | |
| 3.88 | 1 |
| Value | Count | Frequency (%) |
| 31.92 | 1 | |
| 26.97 | 2 | |
| 26.72 | 1 | |
| 26.11 | 1 | |
| 25.9 | 1 | |
| 25.41 | 1 | |
| 25.32 | 1 | |
| 24.69 | 1 | |
| 24.39 | 1 | |
| 24.24 | 1 |
FertilityRate
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 143 |
|---|---|
| Distinct (%) | 78.1% |
| Missing | 11 |
| Missing (%) | 5.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.940655738 |
| Minimum | 1.26 |
|---|---|
| Maximum | 7.58 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 1.26 |
|---|---|
| 5-th percentile | 1.39 |
| Q1 | 1.835 |
| median | 2.4 |
| Q3 | 3.905 |
| 95-th percentile | 5.997 |
| Maximum | 7.58 |
| Range | 6.32 |
| Interquartile range (IQR) | 2.07 |
Descriptive statistics
| Standard deviation | 1.480984454 |
|---|---|
| Coefficient of variation (CV) | 0.5036238805 |
| Kurtosis | -0.01406535381 |
| Mean | 2.940655738 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 0.9945293518 |
| Sum | 538.14 |
| Variance | 2.193314952 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.51 | 5 | 2.6% |
| 1.47 | 4 | 2.1% |
| 1.84 | 3 | 1.5% |
| 2.38 | 3 | 1.5% |
| 1.39 | 3 | 1.5% |
| 1.37 | 3 | 1.5% |
| 2 | 3 | 1.5% |
| 2.31 | 2 | 1.0% |
| 1.45 | 2 | 1.0% |
| 1.93 | 2 | 1.0% |
| Other values (133) | 153 | |
| (Missing) | 11 | 5.7% |
| Value | Count | Frequency (%) |
| 1.26 | 1 | 0.5% |
| 1.27 | 1 | 0.5% |
| 1.29 | 1 | 0.5% |
| 1.33 | 1 | 0.5% |
| 1.37 | 3 | |
| 1.38 | 1 | 0.5% |
| 1.39 | 3 | |
| 1.4 | 1 | 0.5% |
| 1.43 | 1 | 0.5% |
| 1.44 | 2 |
| Value | Count | Frequency (%) |
| 7.58 | 1 | |
| 6.85 | 1 | |
| 6.77 | 1 | |
| 6.49 | 1 | |
| 6.21 | 1 | |
| 6.15 | 1 | |
| 6.11 | 1 | |
| 6.1 | 1 | |
| 6.06 | 1 | |
| 6.02 | 1 |
| Distinct | 36 |
|---|---|
| Distinct (%) | 18.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 70.01030928 |
| Minimum | 47 |
|---|---|
| Maximum | 83 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 47 |
|---|---|
| 5-th percentile | 52.3 |
| Q1 | 64 |
| median | 72.5 |
| Q3 | 76 |
| 95-th percentile | 82 |
| Maximum | 83 |
| Range | 36 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 9.259074636 |
|---|---|
| Coefficient of variation (CV) | 0.1322530172 |
| Kurtosis | -0.5041574409 |
| Mean | 70.01030928 |
| Median Absolute Deviation (MAD) | 5.5 |
| Skewness | -0.6720552116 |
| Sum | 13582 |
| Variance | 85.73046312 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=36)
| Value | Count | Frequency (%) |
| 74 | 19 | 9.8% |
| 82 | 13 | 6.7% |
| 75 | 12 | 6.2% |
| 76 | 12 | 6.2% |
| 72 | 10 | 5.2% |
| 81 | 10 | 5.2% |
| 69 | 8 | 4.1% |
| 71 | 7 | 3.6% |
| 77 | 7 | 3.6% |
| 73 | 6 | 3.1% |
| Other values (26) | 90 |
| Value | Count | Frequency (%) |
| 47 | 1 | 0.5% |
| 48 | 1 | 0.5% |
| 49 | 1 | 0.5% |
| 50 | 4 | |
| 51 | 3 | |
| 53 | 4 | |
| 54 | 3 | |
| 55 | 2 | 1.0% |
| 56 | 5 | |
| 57 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 83 | 3 | 1.5% |
| 82 | 13 | |
| 81 | 10 | |
| 80 | 6 | 3.1% |
| 79 | 5 | 2.6% |
| 78 | 4 | 2.1% |
| 77 | 7 | 3.6% |
| 76 | 12 | |
| 75 | 12 | |
| 74 | 19 |
| Distinct | 170 |
|---|---|
| Distinct (%) | 87.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.14896907 |
| Minimum | 2.2 |
|---|---|
| Maximum | 181.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 2.2 |
|---|---|
| 5-th percentile | 3.265 |
| Q1 | 8.425 |
| median | 18.6 |
| Q3 | 55.975 |
| 95-th percentile | 109.665 |
| Maximum | 181.6 |
| Range | 179.4 |
| Interquartile range (IQR) | 47.55 |
Descriptive statistics
| Standard deviation | 37.99293531 |
|---|---|
| Coefficient of variation (CV) | 1.051010203 |
| Kurtosis | 1.613925529 |
| Mean | 36.14896907 |
| Median Absolute Deviation (MAD) | 14 |
| Skewness | 1.459737121 |
| Sum | 7012.9 |
| Variance | 1443.463134 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3.8 | 4 | 2.1% |
| 4.1 | 3 | 1.5% |
| 17.6 | 3 | 1.5% |
| 2.9 | 3 | 1.5% |
| 35.2 | 2 | 1.0% |
| 4.8 | 2 | 1.0% |
| 44.6 | 2 | 1.0% |
| 31.1 | 2 | 1.0% |
| 4.2 | 2 | 1.0% |
| 9.6 | 2 | 1.0% |
| Other values (160) | 169 |
| Value | Count | Frequency (%) |
| 2.2 | 1 | 0.5% |
| 2.3 | 1 | 0.5% |
| 2.8 | 1 | 0.5% |
| 2.9 | 3 | |
| 3 | 1 | 0.5% |
| 3.1 | 1 | 0.5% |
| 3.2 | 2 | |
| 3.3 | 1 | 0.5% |
| 3.6 | 2 | |
| 3.7 | 1 | 0.5% |
| Value | Count | Frequency (%) |
| 181.6 | 1 | |
| 163.5 | 1 | |
| 149.8 | 1 | |
| 147.4 | 1 | |
| 145.7 | 1 | |
| 129.1 | 1 | |
| 128.6 | 1 | |
| 128 | 1 | |
| 123.7 | 1 | |
| 113.5 | 1 |
CellularSubscribers
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 180 |
|---|---|
| Distinct (%) | 97.8% |
| Missing | 10 |
| Missing (%) | 5.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.64152174 |
| Minimum | 2.57 |
|---|---|
| Maximum | 196.41 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 2.57 |
|---|---|
| 5-th percentile | 22.444 |
| Q1 | 63.5675 |
| median | 97.745 |
| Q3 | 120.805 |
| 95-th percentile | 163.1065 |
| Maximum | 196.41 |
| Range | 193.84 |
| Interquartile range (IQR) | 57.2375 |
Descriptive statistics
| Standard deviation | 41.40044713 |
|---|---|
| Coefficient of variation (CV) | 0.4421163429 |
| Kurtosis | -0.3302750912 |
| Mean | 93.64152174 |
| Median Absolute Deviation (MAD) | 27.795 |
| Skewness | -0.02140474598 |
| Sum | 17230.04 |
| Variance | 1713.997023 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 96.39 | 2 | 1.0% |
| 48.38 | 2 | 1.0% |
| 40.65 | 2 | 1.0% |
| 86.06 | 2 | 1.0% |
| 130.97 | 1 | 0.5% |
| 168.97 | 1 | 0.5% |
| 61.61 | 1 | 0.5% |
| 74.94 | 1 | 0.5% |
| 188.6 | 1 | 0.5% |
| 34.22 | 1 | 0.5% |
| Other values (170) | 170 | |
| (Missing) | 10 | 5.2% |
| Value | Count | Frequency (%) |
| 2.57 | 1 | |
| 4.09 | 1 | |
| 4.47 | 1 | |
| 6.85 | 1 | |
| 11.69 | 1 | |
| 13.64 | 1 | |
| 16.67 | 1 | |
| 21.32 | 1 | |
| 21.63 | 1 | |
| 22.33 | 1 |
| Value | Count | Frequency (%) |
| 196.41 | 1 | |
| 191.24 | 1 | |
| 188.6 | 1 | |
| 179.31 | 1 | |
| 178.88 | 1 | |
| 175.09 | 1 | |
| 168.97 | 1 | |
| 166.02 | 1 | |
| 165.72 | 1 | |
| 164.02 | 1 |
LiteracyRate
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 79 |
|---|---|
| Distinct (%) | 76.7% |
| Missing | 91 |
| Missing (%) | 46.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 83.71067961 |
| Minimum | 31.1 |
|---|---|
| Maximum | 99.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 31.1 |
|---|---|
| 5-th percentile | 50.42 |
| Q1 | 71.6 |
| median | 91.8 |
| Q3 | 97.85 |
| 95-th percentile | 99.7 |
| Maximum | 99.8 |
| Range | 68.7 |
| Interquartile range (IQR) | 26.25 |
Descriptive statistics
| Standard deviation | 17.53064495 |
|---|---|
| Coefficient of variation (CV) | 0.2094194555 |
| Kurtosis | 0.3900443642 |
| Mean | 83.71067961 |
| Median Absolute Deviation (MAD) | 7.3 |
| Skewness | -1.148555414 |
| Sum | 8622.2 |
| Variance | 307.3235123 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 99.7 | 6 | 3.1% |
| 99.6 | 3 | 1.5% |
| 99.8 | 3 | 1.5% |
| 98.8 | 3 | 1.5% |
| 73.2 | 2 | 1.0% |
| 89.2 | 2 | 1.0% |
| 87.4 | 2 | 1.0% |
| 86.6 | 2 | 1.0% |
| 97.7 | 2 | 1.0% |
| 93.9 | 2 | 1.0% |
| Other values (69) | 76 | |
| (Missing) | 91 |
| Value | Count | Frequency (%) |
| 31.1 | 1 | |
| 34.5 | 1 | |
| 41 | 1 | |
| 42.1 | 1 | |
| 42.4 | 1 | |
| 50 | 1 | |
| 54.2 | 1 | |
| 56 | 1 | |
| 56.1 | 1 | |
| 56.2 | 1 |
| Value | Count | Frequency (%) |
| 99.8 | 3 | |
| 99.7 | 6 | |
| 99.6 | 3 | |
| 99.5 | 1 | 0.5% |
| 99.4 | 1 | 0.5% |
| 99 | 2 | 1.0% |
| 98.9 | 1 | 0.5% |
| 98.8 | 3 | |
| 98.5 | 1 | 0.5% |
| 98.4 | 1 | 0.5% |
| Distinct | 157 |
|---|---|
| Distinct (%) | 96.9% |
| Missing | 32 |
| Missing (%) | 16.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13320.92593 |
| Minimum | 340 |
|---|---|
| Maximum | 86440 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 340 |
|---|---|
| 5-th percentile | 951 |
| Q1 | 2335 |
| median | 7870 |
| Q3 | 17557.5 |
| 95-th percentile | 42192.5 |
| Maximum | 86440 |
| Range | 86100 |
| Interquartile range (IQR) | 15222.5 |
Descriptive statistics
| Standard deviation | 15192.98865 |
|---|---|
| Coefficient of variation (CV) | 1.14053548 |
| Kurtosis | 3.993813093 |
| Mean | 13320.92593 |
| Median Absolute Deviation (MAD) | 6205 |
| Skewness | 1.874357239 |
| Sum | 2157990 |
| Variance | 230826904.1 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1940 | 2 | 1.0% |
| 1040 | 2 | 1.0% |
| 1710 | 2 | 1.0% |
| 5930 | 2 | 1.0% |
| 1110 | 2 | 1.0% |
| 20430 | 1 | 0.5% |
| 2870 | 1 | 0.5% |
| 11080 | 1 | 0.5% |
| 14510 | 1 | 0.5% |
| 2570 | 1 | 0.5% |
| Other values (147) | 147 | |
| (Missing) | 32 | 16.5% |
| Value | Count | Frequency (%) |
| 340 | 1 | |
| 540 | 1 | |
| 580 | 1 | |
| 610 | 1 | |
| 720 | 1 | |
| 810 | 1 | |
| 840 | 1 | |
| 870 | 1 | |
| 950 | 1 | |
| 970 | 1 |
| Value | Count | Frequency (%) |
| 86440 | 1 | |
| 64260 | 1 | |
| 61460 | 1 | |
| 59380 | 1 | |
| 52570 | 1 | |
| 48820 | 1 | |
| 47890 | 1 | |
| 43140 | 1 | |
| 42200 | 1 | |
| 42050 | 1 |
PrimarySchoolEnrollmentMale
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 75 |
|---|---|
| Distinct (%) | 74.3% |
| Missing | 93 |
| Missing (%) | 47.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 90.85049505 |
| Minimum | 37.2 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 37.2 |
|---|---|
| 5-th percentile | 68.2 |
| Q1 | 87.7 |
| median | 94.7 |
| Q3 | 98.1 |
| 95-th percentile | 99.6 |
| Maximum | 100 |
| Range | 62.8 |
| Interquartile range (IQR) | 10.4 |
Descriptive statistics
| Standard deviation | 11.01714685 |
|---|---|
| Coefficient of variation (CV) | 0.1212667784 |
| Kurtosis | 6.182613866 |
| Mean | 90.85049505 |
| Median Absolute Deviation (MAD) | 4.2 |
| Skewness | -2.250329347 |
| Sum | 9175.9 |
| Variance | 121.3775248 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 99.1 | 5 | 2.6% |
| 97.7 | 4 | 2.1% |
| 99.3 | 3 | 1.5% |
| 94.8 | 3 | 1.5% |
| 99.6 | 3 | 1.5% |
| 93.3 | 2 | 1.0% |
| 98.8 | 2 | 1.0% |
| 99.5 | 2 | 1.0% |
| 96.9 | 2 | 1.0% |
| 97.8 | 2 | 1.0% |
| Other values (65) | 73 | |
| (Missing) | 93 |
| Value | Count | Frequency (%) |
| 37.2 | 1 | |
| 56.5 | 1 | |
| 60.1 | 1 | |
| 60.7 | 1 | |
| 64.2 | 1 | |
| 68.2 | 1 | |
| 70.6 | 1 | |
| 72.2 | 1 | |
| 72.8 | 1 | |
| 75.9 | 1 |
| Value | Count | Frequency (%) |
| 100 | 1 | 0.5% |
| 99.8 | 1 | 0.5% |
| 99.7 | 2 | 1.0% |
| 99.6 | 3 | |
| 99.5 | 2 | 1.0% |
| 99.4 | 1 | 0.5% |
| 99.3 | 3 | |
| 99.2 | 1 | 0.5% |
| 99.1 | 5 | |
| 98.9 | 2 | 1.0% |
PrimarySchoolEnrollmentFemale
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 77 |
|---|---|
| Distinct (%) | 76.2% |
| Missing | 93 |
| Missing (%) | 47.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 89.63267327 |
| Minimum | 32.5 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 32.5 |
|---|---|
| 5-th percentile | 60.6 |
| Q1 | 87.3 |
| median | 95.1 |
| Q3 | 97.9 |
| 95-th percentile | 99.7 |
| Maximum | 100 |
| Range | 67.5 |
| Interquartile range (IQR) | 10.6 |
Descriptive statistics
| Standard deviation | 12.81761373 |
|---|---|
| Coefficient of variation (CV) | 0.1430015782 |
| Kurtosis | 4.47694865 |
| Mean | 89.63267327 |
| Median Absolute Deviation (MAD) | 4.1 |
| Skewness | -2.048405524 |
| Sum | 9052.9 |
| Variance | 164.2912218 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 99.2 | 4 | 2.1% |
| 97 | 4 | 2.1% |
| 94.4 | 3 | 1.5% |
| 98.5 | 3 | 1.5% |
| 91.5 | 3 | 1.5% |
| 99.7 | 3 | 1.5% |
| 99.3 | 3 | 1.5% |
| 87.3 | 2 | 1.0% |
| 99.6 | 2 | 1.0% |
| 96.5 | 2 | 1.0% |
| Other values (67) | 72 | |
| (Missing) | 93 |
| Value | Count | Frequency (%) |
| 32.5 | 1 | |
| 52 | 1 | |
| 54.8 | 1 | |
| 55.9 | 1 | |
| 56 | 1 | |
| 60.6 | 1 | |
| 60.8 | 1 | |
| 66.5 | 1 | |
| 70.4 | 1 | |
| 70.5 | 1 |
| Value | Count | Frequency (%) |
| 100 | 1 | 0.5% |
| 99.9 | 1 | 0.5% |
| 99.8 | 1 | 0.5% |
| 99.7 | 3 | |
| 99.6 | 2 | |
| 99.5 | 2 | |
| 99.3 | 3 | |
| 99.2 | 4 | |
| 99 | 1 | 0.5% |
| 98.5 | 3 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Country | Region | Population | Under15 | Over60 | FertilityRate | LifeExpectancy | ChildMortality | CellularSubscribers | LiteracyRate | GNI | PrimarySchoolEnrollmentMale | PrimarySchoolEnrollmentFemale | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Eastern Mediterranean | 29825 | 47.42 | 3.82 | 5.40 | 60 | 98.5 | 54.26 | NaN | 1140.0 | NaN | NaN |
| 1 | Albania | Europe | 3162 | 21.33 | 14.93 | 1.75 | 74 | 16.7 | 96.39 | NaN | 8820.0 | NaN | NaN |
| 2 | Algeria | Africa | 38482 | 27.42 | 7.17 | 2.83 | 73 | 20.0 | 98.99 | NaN | 8310.0 | 98.2 | 96.4 |
| 3 | Andorra | Europe | 78 | 15.20 | 22.86 | NaN | 82 | 3.2 | 75.49 | NaN | NaN | 78.4 | 79.4 |
| 4 | Angola | Africa | 20821 | 47.58 | 3.84 | 6.10 | 51 | 163.5 | 48.38 | 70.1 | 5230.0 | 93.1 | 78.2 |
| 5 | Antigua and Barbuda | Americas | 89 | 25.96 | 12.35 | 2.12 | 75 | 9.9 | 196.41 | 99.0 | 17900.0 | 91.1 | 84.5 |
| 6 | Argentina | Americas | 41087 | 24.42 | 14.97 | 2.20 | 76 | 14.2 | 134.92 | 97.8 | 17130.0 | NaN | NaN |
| 7 | Armenia | Europe | 2969 | 20.34 | 14.06 | 1.74 | 71 | 16.4 | 103.57 | 99.6 | 6100.0 | NaN | NaN |
| 8 | Australia | Western Pacific | 23050 | 18.95 | 19.46 | 1.89 | 82 | 4.9 | 108.34 | NaN | 38110.0 | 96.9 | 97.5 |
| 9 | Austria | Europe | 8464 | 14.51 | 23.52 | 1.44 | 81 | 4.0 | 154.78 | NaN | 42050.0 | NaN | NaN |
Last rows
| Country | Region | Population | Under15 | Over60 | FertilityRate | LifeExpectancy | ChildMortality | CellularSubscribers | LiteracyRate | GNI | PrimarySchoolEnrollmentMale | PrimarySchoolEnrollmentFemale | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 184 | United Republic of Tanzania | Africa | 47783 | 44.85 | 4.89 | 5.36 | 59 | 54.0 | 55.53 | 73.2 | 1500.0 | NaN | NaN |
| 185 | United States of America | Americas | 318000 | 19.63 | 19.31 | 2.00 | 79 | 7.1 | 92.72 | NaN | 48820.0 | 95.4 | 96.1 |
| 186 | Uruguay | Americas | 3395 | 22.05 | 18.59 | 2.07 | 77 | 7.2 | 140.75 | 98.1 | 14640.0 | NaN | NaN |
| 187 | Uzbekistan | Europe | 28541 | 28.90 | 6.38 | 2.38 | 68 | 39.6 | 91.65 | 99.4 | 3420.0 | 93.3 | 91.0 |
| 188 | Vanuatu | Western Pacific | 247 | 37.37 | 6.02 | 3.46 | 72 | 17.9 | 55.76 | 82.6 | 4330.0 | NaN | NaN |
| 189 | Venezuela (Bolivarian Republic of) | Americas | 29955 | 28.84 | 9.17 | 2.44 | 75 | 15.3 | 97.78 | NaN | 12430.0 | 94.7 | 95.1 |
| 190 | Viet Nam | Western Pacific | 90796 | 22.87 | 9.32 | 1.79 | 75 | 23.0 | 143.39 | 93.2 | 3250.0 | NaN | NaN |
| 191 | Yemen | Eastern Mediterranean | 23852 | 40.72 | 4.54 | 4.35 | 64 | 60.0 | 47.05 | 63.9 | 2170.0 | 85.5 | 70.5 |
| 192 | Zambia | Africa | 14075 | 46.73 | 3.95 | 5.77 | 55 | 88.5 | 60.59 | 71.2 | 1490.0 | 91.4 | 93.9 |
| 193 | Zimbabwe | Africa | 13724 | 40.24 | 5.68 | 3.64 | 54 | 89.8 | 72.13 | 92.2 | NaN | NaN | NaN |